Microsoft Fabric for Power BI developers - 3.5 HOUR FREE COURSE

✅Am with you all the way brother...your passion on the subject really shines through!

I'm reviewing Microsoft Fabric content in a more concise format for the first time. Could you please share the slides used in the presentation for later reference? I’ve noticed that the materials provided by the school don’t align with the slide content.

⌛Thank you and God bless you for providing such awesome content

✅keep it up will ✅

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You can upload local files as well

Seems like very good content. Thanks Will, got some good learning to do here.

Really helpful & thanks a lot for your time!

As an aspiring data analyst with no professional experience yet, which of the experiences in microsoft fabric should i focus on? and which are things that i can go on without learning it? like maybe create a video for each data role (ex. Microsoft Fabric Areas for Data Analysts) .. this way i will not waste time trying to learn something that i will not apply in my role in the future.

Excellent!

You're the best, Will. Thank you so much.

✅ Good intro with plenty of Info, thanks.

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Really helpful & insightful.

I am not able to use validator functions
# expect the columns to be from the expected column_set
expected_column_set = ["Index", "Customer Id", "First Name", "Last Name", "Company", "City", "Country", "Phone 1", "Phone 2","Email", "Subscription Date", "Website"]
validator.expect_table_columns_to_match_set(expected_column_set, exact_match=True)

# expect the following column values to not be null (perhaps these are needed for downstream analytics)
validator.expect_column_values_to_not_be_null(column="Customer Id")
validator.expect_column_values_to_not_be_null(column="Subscription Date")

# expect date format to match expected strftime format YYYY-MM-DD
validator.expect_column_values_to_match_strftime_format('Subscription Date', "%Y-%m-%d")

AttributeError Traceback (most recent call last)
Cell In[37], line 3
1 # expect the columns to be from the expected column_set
2 expected_column_set = ["Index", "Customer Id", "First Name", "Last Name", "Company", "City", "Country", "Phone 1", "Phone 2","Email", "Subscription Date", "Website"]
----> 3 validator.expect_table_columns_to_match_set(expected_column_set, exact_match=True)
5 # expect the following column values to not be null (perhaps these are needed for downstream analytics)
6 validator.expect_column_values_to_not_be_null(column="Customer Id")

AttributeError: 'Batch' object has no attribute 'expect_table_columns_to_match_set'

Thank you so much for the video, it helped me a lot!!

This course is vital for me and my team right now, cannot thank you enough!

Thank you for great content! Can we use Azure Purview for Data Quality Monitoring instead of DQ Monitoring Report in Lakehouse? Pros & Cons?

THANK YOU, WILL, FOR A GREAT VIDEO.

Is direct lake mode available for data warehouse semantic models as well or only for lake house semantic models ?

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✅ amazing

HOur glass and just completed this one.

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Hi Will,
Do you have a document for this course in .pdf or .docx formats?
"Microsoft Fabric for Power BI developers - 3.5 HOUR FREE COURSE"

A great stuff. Any advice on becoming a Master of Data Pipeline and the resources? Thanks.

I am unsure whether you have any video on Data Mart that fits into Power BI / Fabric. Hope, hearing on this. Thanks.

I suggest we put the slides into the school classroom; that would greatly help. Thanks.

Super good lesson! Very good information and clear explanations. Working as Data engineer and new to Fabric! This helped alot!

⏳ Thanks! Very helpfull!

Thanks

I am finishing this video now. Do I have to create a skool user to get any of the documentation?

Started Power BI the day it came out, started Fabric the day it came out. There’s a paradigm shift happening people are not aware of in Analytics! Great content! Let’s connect!
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Thank you so much for helping the community will, can you please make a short video on how to connect Tableau to Fabric?. Thanks in advance.

⏳️1 hour done
2 and half to go

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Thank you so much for this Will!

Hi, how can I access the document you show in the video? Thanks. Great Work

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This is great - even if it took me 2 weeks to get through.
On careers - the last bit. Surely AI is pretty much going to make writing SQL and Python really easy. Especially SQL as the only challenge is to check the result is what you intended.
Whether that makes it pointless to learn them, or just much easier to reach competence I am not sure (maybe both).

Another pov is that yes I get it - Data Engineers earn more than PBI developers within IT.
On the other hand I suspect Business managers who can develop their own PBI dashboards (or at least run their own analysis on it) pretty soon earn a lot more as Business managers.
So I guess the PBI analyst can take his skills upstream to be an engineer or downstream into operational management.

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1 hour :) ⌛

thanks a lot for the video

Hi eager to begin. There is a 3.5 hours video here but also a 9 video series that seems to cover the same chapters from a couple of months before.
Which is best for a Power BI but no Fabric person like me? And is there any point in watching both?

Still watching this great video :D

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